Uploaded August 2020 | Updated September 2026, 2 weeks ago
We live in a world that consumes an incredible amount of digital (audio) signals. To make sense of these signals, we can’t use the (Continuous) Fourier Transform. We should adapt this powerful tool to the digital domain. Hence, the Digital Fourier Transform (DFT). This video builds on top of the topic discussed in earlier videos in the series and explores the secrets of DFT.
Slides:
github.com/musikalkemist/AudioSignalProcessingForML/tree/master/13-%20Discrete%20Fourier%20Transform
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We live in a world that consumes an incredible amount of digital (audio) signals. To make sense of these signals, we can’t use the (Continuous) Fourier Transform. We should adapt this powerful tool to the digital domain. Hence, the Digital Fourier Transform (DFT). This video builds on top of the topic discussed in earlier videos in the series and explores the secrets of DFT.
Slides:
github.com/musikalkemist/AudioSignalProcessingForML/tree/master/13-%20Discrete%20Fourier%20Transform
Join The Sound Of AI Slack community:
valeriovelardo.com/the-sound-of-ai-community
Interested in hiring me as a consultant/freelancer?
valeriovelardo.com
Follow Valerio on Facebook:
facebook.com/TheSoundOfAI
Connect with Valerio on Linkedin:
linkedin.com/in/valeriovelardo
Follow Valerio on Twitter:
twitter.com/musikalkemist
